Genetic Algorithm of Constrained Optimization

Abstract

Aiming at the special problem of constrained optimization, multi-genus group genetic algorithm based on independence inches is presented. A known function was defined and inch was divided according to group, and fitness value was calculated. Each inch was selected to form crossness-pools, Single point was crossed respectively and then fitness value was calculated again, next genus group was selected. Genetic algorithm is applicable in optimization problem of fuzzy controller in nonlinear system.

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